Triple
T1855106
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Valentina Gagarina |
E41683
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Galina Gagarina |
E41683
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Galina Gagarina | Statement: [Valentina Gagarina, child, Galina Gagarina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Galina Gagarina Context triple: [Valentina Gagarina, child, Galina Gagarina]
-
A.
Galina Gagarina
chosen
Galina Gagarina is the daughter of Soviet cosmonaut Yuri Gagarin, the first human to journey into outer space.
-
B.
Galina Brezhneva
Galina Brezhneva was a Soviet socialite and public figure best known as the controversial and flamboyant daughter of longtime Soviet leader Leonid Brezhnev.
-
C.
Lyubov Orlova
Lyubov Orlova was a celebrated Soviet film and theater actress, widely regarded as one of the first major stars of Soviet cinema.
-
D.
Yekaterina Zhdanova
Yekaterina Zhdanova is the daughter of Svetlana Alliluyeva, making her a granddaughter of Soviet leader Joseph Stalin.
-
E.
Yelena Gagarina
Yelena Gagarina is a Russian art historian and museum director, best known for heading the Moscow Kremlin Museums and being the daughter of cosmonaut Yuri Gagarin.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a8864a83848190a4ec02721306c511 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb07d48c48190bcd34d6093ff5e78 |
completed | March 7, 2026, 4:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae1fc7f4988190931e58d2f95b9049 |
completed | March 9, 2026, 1:18 a.m. |
Created at: March 4, 2026, 7:33 p.m.